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Hardin EE, Cullen JA, Fuentes MMPB. Comparing acoustic and satellite telemetry: an analysis quantifying the space use of Chelonia mydas in Bimini, Bahamas. ROYAL SOCIETY OPEN SCIENCE 2024; 11:231152. [PMID: 38204794 PMCID: PMC10776224 DOI: 10.1098/rsos.231152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 12/11/2023] [Indexed: 01/12/2024]
Abstract
Passive acoustic and Argos satellite telemetry are common methods for tracking marine species and are often used similarly to quantify space use. However, data-driven comparisons of these methods and their associated ecological inferences are limited. To address this, we compared temporal durations, spatial resolutions, financial costs and estimates of occurrence and range distributions for each tracking approach using nine juvenile green turtles (Chelonia mydas) in Bimini, Bahamas. Tracking durations were similar, although acoustic tracking provided higher spatiotemporal resolution than satellite tracking. Occurrence distributions (95%) estimated from satellite telemetry were 12 times larger than those from acoustic telemetry, while satellite range distributions (95%) were 89 times larger. While individuals generally remained within the extent of the acoustic receiver array, gaps in coverage were identified. These gaps, combined with the lower accuracy of satellite telemetry, were likely drivers for the larger satellite distributions. Costs differed between telemetry methods, with acoustic telemetry being less expensive at larger sample sizes with a previously established array. Our results suggest that acoustic and satellite telemetry may not provide similar inferences of individual space use. As such, we provide recommendations to identify telemetry methods appropriate for specific study objectives and provide discussion on the biases of each.
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Affiliation(s)
- Emily E. Hardin
- Marine Turtle Research, Ecology and Conservation Group, Department of Earth, Ocean & Atmospheric Science, Florida State University, Tallahassee, FL 32304, USA
| | - Joshua A. Cullen
- Marine Turtle Research, Ecology and Conservation Group, Department of Earth, Ocean & Atmospheric Science, Florida State University, Tallahassee, FL 32304, USA
| | - Mariana M. P. B. Fuentes
- Marine Turtle Research, Ecology and Conservation Group, Department of Earth, Ocean & Atmospheric Science, Florida State University, Tallahassee, FL 32304, USA
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2
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Watanabe YY, Papastamatiou YP. Biologging and Biotelemetry: Tools for Understanding the Lives and Environments of Marine Animals. Annu Rev Anim Biosci 2023; 11:247-267. [PMID: 36790885 DOI: 10.1146/annurev-animal-050322-073657] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Addressing important questions in animal ecology, physiology, and environmental science often requires in situ information from wild animals. This difficulty is being overcome by biologging and biotelemetry, or the use of miniaturized animal-borne sensors. Although early studies recorded only simple parameters of animal movement, advanced devices and analytical methods can now provide rich information on individual and group behavior, internal states, and the surrounding environment of free-ranging animals, especially those in marine systems. We summarize the history of technologies used to track marine animals. We then identify seven major research categories of marine biologging and biotelemetry and explain significant achievements, as well as future opportunities. Big data approaches via international collaborations will be key to tackling global environmental issues (e.g., climate change impacts), and curiosity about the secret lives of marine animals will also remain a major driver of biologging and biotelemetry studies.
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Affiliation(s)
- Yuuki Y Watanabe
- National Institute of Polar Research, Tachikawa, Tokyo, Japan; .,Department of Polar Science, The Graduate University for Advanced Studies, SOKENDAI, Tachikawa, Tokyo, Japan
| | - Yannis P Papastamatiou
- Institute of Environment, Department of Biological Sciences, Florida International University, North Miami, Florida, USA
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3
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Stewart C, Lang SLC, Iverson S, Bowen WD. Measuring repeatability of compositional diet estimates: An example using quantitative fatty acid signature analysis. Ecol Evol 2022; 12:e9428. [PMID: 36311408 PMCID: PMC9608821 DOI: 10.1002/ece3.9428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 09/21/2022] [Accepted: 09/26/2022] [Indexed: 11/12/2022] Open
Abstract
By measuring the temporal consistency, or repeatability, in the diets of predators, we can gain a better understanding of the degree of individual specialization in resource utilization and implications for predator-prey interactions, population dynamics, and food web structure. To measure repeatability, we require repeated diet estimates of individuals over time, such as those derived from quantitative fatty acid signature analysis (QFASA), a popular diet estimation technique. However, diet estimates are often lengthy compositional vectors with many zeros, as some prey will not be consumed by all individuals, precluding the use of previously proposed measures of repeatability. In this paper, we propose a novel approach for inferring repeatability for multivariate data and, in particular, compositional diet estimates. We extend the commonly used measure of repeatability for univariate data to the multivariate compositional setting by utilizing the mean squares obtained from a nonparametric multivariate analysis of variance, and an appropriate choice of statistical distance. Our measure and its extension are compatible with both balanced and unbalanced data sets. Associated confidence intervals via nonparametric bootstrapping are also developed for the case of QFASA diet estimates that incorporate both sampling error and measurement error, where the latter error arises because the diets of predators are estimated. Simulation study results suggest that for practical levels of repeatability, our methods yield confidence intervals with the desired coverage probability even when the sample size relative to the dimension of the data (i.e., number of prey species eaten) is small. We tested our methods using QFASA diet estimates for free-ranging Northwest Atlantic grey seals. Given the importance of understanding how predator diets vary over time and space, our method may find broad application to other compositional diet estimates, including those derived from the stomach or fecal contents, and stable isotope analyses.
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Affiliation(s)
- Connie Stewart
- Department of Mathematics and StatisticsUniversity of New Brunswick Saint JohnSaint JohnNew BrunswickCanada
| | - Shelley L. C. Lang
- Department of BiologyDalhousie UniversityHalifaxNova ScotiaCanada
- Present address:
Northwest Fisheries Sciences CentreFisheries and Oceans CanadaSt. John'sNewfoundland and LabradorCanada
| | - Sara Iverson
- Department of BiologyDalhousie UniversityHalifaxNova ScotiaCanada
| | - W. Don Bowen
- Department of BiologyDalhousie UniversityHalifaxNova ScotiaCanada
- Fisheries and Oceans CanadaBedford Institute of OceanographyDartmouthNova ScotiaCanada
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4
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Spence MA, Muiruri EW, Maxwell DL, Davis S, Sheahan D. The application of continuous‐time Markov chain models in the analysis of choice flume experiments. J R Stat Soc Ser C Appl Stat 2021. [DOI: 10.1111/rssc.12510] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Michael A. Spence
- Centre for Environment, Fisheries and Aquaculture Science Lowestoft Laboratory Pakefield Road Lowestoft SuffolkNR33 OHTUK
| | - Evalyne W. Muiruri
- Centre for Environment, Fisheries and Aquaculture Science Lowestoft Laboratory Pakefield Road Lowestoft SuffolkNR33 OHTUK
| | - David L. Maxwell
- Centre for Environment, Fisheries and Aquaculture Science Lowestoft Laboratory Pakefield Road Lowestoft SuffolkNR33 OHTUK
| | - Scott Davis
- Centre for Environment, Fisheries and Aquaculture Science Lowestoft Laboratory Pakefield Road Lowestoft SuffolkNR33 OHTUK
| | - Dave Sheahan
- Centre for Environment, Fisheries and Aquaculture Science Lowestoft Laboratory Pakefield Road Lowestoft SuffolkNR33 OHTUK
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5
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Lidgard DC, Bowen WD, Iverson SJ. Sex-differences in fine-scale home-range use in an upper-trophic level marine predator. MOVEMENT ECOLOGY 2020; 8:11. [PMID: 32082578 PMCID: PMC7020581 DOI: 10.1186/s40462-020-0196-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Accepted: 02/05/2020] [Indexed: 06/10/2023]
Abstract
BACKGROUND The distribution of prey in the ocean is spatially and temporally patchy. How predators respond to this prey patchiness may have consequences on their foraging success, and thus physical condition. The recent ability to record fine-scale movements of marine animals combined with novel home-range analyses that incorporate the dimension of time should permit a better understanding of how individuals utilise different regions of space and the consequences on their foraging success. METHODS Over a six-year study, we used T-LoCoH (Time-Local Convex Hull) home-range software to model archival GPS (Global Positioning System) data from 81 grey seals to investigate the fine-scale spatio-temporal use of space and the distribution of apparent foraging effort. Regions of home-ranges were classified according to the frequency of return visits (site fidelity) and duration of visits (intensity of use). Generalized linear mixed -effects models were used to test hypotheses on seasonal changes in foraging distribution and behaviour and the role of space-use and state on determining foraging success. RESULTS Male grey seals had larger home-ranges and core areas than females, and both sexes showed a contraction in home-range and core area in fall leading up to the breeding season compared with summer. Heavier individuals had smaller core areas than lighter ones, suggesting access to higher quality habitat might be limited to those individuals with greater foraging experience and competitive ability. The size of the home-range or core area was not an important predictor of the rate of mass gain. A fine-scale spatio-temporal analysis of habitat use within the home-range provided evidence of intra-annual site fidelity at presumed foraging locations, suggesting predictably in prey distribution. Neither sex nor season were useful predictors for classifying behaviour. Rather, individual identity explained much of the variation in fine-scale behaviour. CONCLUSIONS Understanding how upper-trophic level marine predators use space provides opportunities to explore the consequences of variation in foraging tactics and their success on fitness. Having knowledge of the drivers that shape this intraspecific variation can contribute toward predicting how these predators may respond to both natural and man-made environmental forcing.
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Affiliation(s)
- D. C. Lidgard
- Department of Biology, Dalhousie University, B3H 4J1, Halifax, Nova Scotia Canada
- Population Ecology Division, Bedford Institute of Oceanography, Department of Fisheries and Oceans, Dartmouth, Nova Scotia B2Y 4A2 Canada
| | - W. D. Bowen
- Population Ecology Division, Bedford Institute of Oceanography, Department of Fisheries and Oceans, Dartmouth, Nova Scotia B2Y 4A2 Canada
| | - S. J. Iverson
- Department of Biology, Dalhousie University, B3H 4J1, Halifax, Nova Scotia Canada
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Barkley AN, Broell F, Pettitt‐Wade H, Watanabe YY, Marcoux M, Hussey NE. A framework to estimate the likelihood of species interactions and behavioural responses using animal‐borne acoustic telemetry transceivers and accelerometers. J Anim Ecol 2020; 89:146-160. [DOI: 10.1111/1365-2656.13156] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Accepted: 11/02/2019] [Indexed: 01/23/2023]
Affiliation(s)
- Amanda N. Barkley
- Department of Integrative Biology University of Windsor Windsor ON Canada
| | - Franziska Broell
- Department of Integrative Biology University of Windsor Windsor ON Canada
| | - Harri Pettitt‐Wade
- Department of Integrative Biology University of Windsor Windsor ON Canada
| | - Yuuki Y. Watanabe
- National Institute of Polar Research Tachikawa Japan
- Department of Polar Science The Graduate University for Advanced Studies, SOKENDAI Tachikawa Japan
| | - Marianne Marcoux
- Fisheries and Oceans Canada Winnipeg MB Canada
- Department of Biological Sciences University of Manitoba Winnipeg MB Canada
| | - Nigel E. Hussey
- Department of Integrative Biology University of Windsor Windsor ON Canada
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7
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Torney CJ, Hopcraft JGC, Morrison TA, Couzin ID, Levin SA. From single steps to mass migration: the problem of scale in the movement ecology of the Serengeti wildebeest. Philos Trans R Soc Lond B Biol Sci 2019; 373:rstb.2017.0012. [PMID: 29581397 DOI: 10.1098/rstb.2017.0012] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/24/2017] [Indexed: 11/12/2022] Open
Abstract
A central question in ecology is how to link processes that occur over different scales. The daily interactions of individual organisms ultimately determine community dynamics, population fluctuations and the functioning of entire ecosystems. Observations of these multiscale ecological processes are constrained by various technological, biological or logistical issues, and there are often vast discrepancies between the scale at which observation is possible and the scale of the question of interest. Animal movement is characterized by processes that act over multiple spatial and temporal scales. Second-by-second decisions accumulate to produce annual movement patterns. Individuals influence, and are influenced by, collective movement decisions, which then govern the spatial distribution of populations and the connectivity of meta-populations. While the field of movement ecology is experiencing unprecedented growth in the availability of movement data, there remain challenges in integrating observations with questions of ecological interest. In this article, we present the major challenges of addressing these issues within the context of the Serengeti wildebeest migration, a keystone ecological phenomena that crosses multiple scales of space, time and biological complexity.This article is part of the theme issue 'Collective movement ecology'.
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Affiliation(s)
- Colin J Torney
- School of Mathematics and Statistics, University of Glasgow, Glasgow G12 8SQ, UK
| | - J Grant C Hopcraft
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK
| | - Thomas A Morrison
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK
| | - Iain D Couzin
- Department of Collective Behaviour, Max Planck Institute for Ornithology, 78464 Konstanz, Germany.,Chair of Biodiversity and Collective Behaviour, Department of Biology, University of Konstanz, 78464 Konstanz, Germany
| | - Simon A Levin
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA
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8
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Crossin GT, Heupel MR, Holbrook CM, Hussey NE, Lowerre-Barbieri SK, Nguyen VM, Raby GD, Cooke SJ. Acoustic telemetry and fisheries management. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2017; 27:1031-1049. [PMID: 28295789 DOI: 10.1002/eap.1533] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Revised: 11/24/2016] [Accepted: 02/06/2017] [Indexed: 05/26/2023]
Abstract
This paper reviews the use of acoustic telemetry as a tool for addressing issues in fisheries management, and serves as the lead to the special Feature Issue of Ecological Applications titled Acoustic Telemetry and Fisheries Management. Specifically, we provide an overview of the ways in which acoustic telemetry can be used to inform issues central to the ecology, conservation, and management of exploited and/or imperiled fish species. Despite great strides in this area in recent years, there are comparatively few examples where data have been applied directly to influence fisheries management and policy. We review the literature on this issue, identify the strengths and weaknesses of work done to date, and highlight knowledge gaps and difficulties in applying empirical fish telemetry studies to fisheries policy and practice. We then highlight the key areas of management and policy addressed, as well as the challenges that needed to be overcome to do this. We conclude with a set of recommendations about how researchers can, in consultation with stock assessment scientists and managers, formulate testable scientific questions to address and design future studies to generate data that can be used in a meaningful way by fisheries management and conservation practitioners. We also urge the involvement of relevant stakeholders (managers, fishers, conservation societies, etc.) early on in the process (i.e., in the co-creation of research projects), so that all priority questions and issues can be addressed effectively.
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Affiliation(s)
- Glenn T Crossin
- Department of Biology, Dalhousie University, 1355 Oxford Street, Halifax, Nova Scotia, B4H 4R2, Canada
| | - Michelle R Heupel
- Australian Institute of Marine Science, PMB 3, Townsville, Queensland, 4810, Australia
| | - Christopher M Holbrook
- U.S. Geological Survey, Great Lakes Science Center, Hammond Bay Biological Station, 11188 Ray Road, Millersburg, Michigan, 49759, USA
| | - Nigel E Hussey
- Department of Biology, University of Windsor, 401 Sunset Avenue, Windsor, Ontario, N9B 3P4, Canada
| | - Susan K Lowerre-Barbieri
- Florida Fish & Wildlife Research Institute, 100 8th Avenue SE, St. Petersburg, Florida, 33701, USA
- Fisheries and Aquatic Science Program, School of Forest Resources and Conservation, University of Florida, 7922 North West 71st Street, Gainesville, Florida, 32653, USA
| | - Vivian M Nguyen
- Fish Ecology & Conservation Physiology Laboratory, Department of Biology and Institute of Environmental Science, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario, K1S 5B6, Canada
| | - Graham D Raby
- Department of Biology, University of Windsor, 401 Sunset Avenue, Windsor, Ontario, N9B 3P4, Canada
| | - Steven J Cooke
- Fish Ecology & Conservation Physiology Laboratory, Department of Biology and Institute of Environmental Science, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario, K1S 5B6, Canada
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9
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Puryear WB, Keogh M, Hill N, Moxley J, Josephson E, Davis KR, Bandoro C, Lidgard D, Bogomolni A, Levin M, Lang S, Hammill M, Bowen D, Johnston DW, Romano T, Waring G, Runstadler J. Prevalence of influenza A virus in live-captured North Atlantic gray seals: a possible wild reservoir. Emerg Microbes Infect 2016; 5:e81. [PMID: 27485496 PMCID: PMC5034098 DOI: 10.1038/emi.2016.77] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Revised: 04/25/2016] [Accepted: 05/16/2016] [Indexed: 02/06/2023]
Abstract
Influenza A virus (IAV) has been associated with multiple unusual mortality events (UMEs) in North Atlantic pinnipeds, frequently attributed to spillover of virus from wild-bird reservoirs. To determine if endemic infection persists outside of UMEs, we undertook a multiyear investigation of IAV in healthy, live-captured Northwest Atlantic gray seals (Halichoerus grypus). From 2013 to 2015, we sampled 345 pups and 57 adults from Cape Cod, MA, USA and Nova Scotia, Canada consistently detecting IAV infection across all groups. There was an overall viral prevalence of 9.0% (95% confidence interval (CI): 6.4%-12.5%) in weaned pups and 5.3% (CI: 1.2%-14.6%) in adults, with seroprevalences of 19.3% (CI: 15.0%-24.5%) and 50% (CI: 33.7%-66.4%), respectively. Positive sera showed a broad reactivity to diverse influenza subtypes. IAV status did not correlate with measures of animal health nor impact animal movement or foraging. This study demonstrated that Northwest Atlantic gray seals are both permissive to and tolerant of diverse IAV, possibly representing an endemically infected wild reservoir population.
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Affiliation(s)
| | | | - Nichola Hill
- Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | | | - Elizabeth Josephson
- National Oceanic and Atmospheric Administration, Northeast Fisheries Science Center, Woods Hole, MA 02543, USA
| | | | | | - Damian Lidgard
- Dalhousie University, Halifax, Nova Scotia, Canada B3H 1C2
| | | | - Milton Levin
- University of Connecticut, Storrs, CT 06268, USA
| | - Shelley Lang
- Department of Fisheries and Oceans, Dartmouth, Nova Scotia, Canada B2Y 4A2
| | - Michael Hammill
- Department of Fisheries and Oceans, Dartmouth, Nova Scotia, Canada B2Y 4A2
| | - Don Bowen
- Department of Fisheries and Oceans, Dartmouth, Nova Scotia, Canada B2Y 4A2
| | | | | | - Gordon Waring
- National Oceanic and Atmospheric Administration, Northeast Fisheries Science Center, Woods Hole, MA 02543, USA
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Michelot T, Langrock R, Patterson TA. moveHMM: an
R
package for the statistical modelling of animal movement data using hidden Markov models. Methods Ecol Evol 2016. [DOI: 10.1111/2041-210x.12578] [Citation(s) in RCA: 204] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Théo Michelot
- School of Mathematics and Statistics University of Sheffield Hicks Building, Hounsfield Road Sheffield S3 7RH UK
- Center for Research into Ecological and Environmental Modelling The Observatory Buchanan Gardens University of St Andrews, St Andrews KY16 9LZ UK
| | - Roland Langrock
- Department of Business Administration and Economics Bielefeld University Postfach 10 01 31, 33501 Bielefeld Germany
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Hays GC, Ferreira LC, Sequeira AMM, Meekan MG, Duarte CM, Bailey H, Bailleul F, Bowen WD, Caley MJ, Costa DP, Eguíluz VM, Fossette S, Friedlaender AS, Gales N, Gleiss AC, Gunn J, Harcourt R, Hazen EL, Heithaus MR, Heupel M, Holland K, Horning M, Jonsen I, Kooyman GL, Lowe CG, Madsen PT, Marsh H, Phillips RA, Righton D, Ropert-Coudert Y, Sato K, Shaffer SA, Simpfendorfer CA, Sims DW, Skomal G, Takahashi A, Trathan PN, Wikelski M, Womble JN, Thums M. Key Questions in Marine Megafauna Movement Ecology. Trends Ecol Evol 2016; 31:463-475. [PMID: 26979550 DOI: 10.1016/j.tree.2016.02.015] [Citation(s) in RCA: 187] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2015] [Revised: 02/16/2016] [Accepted: 02/17/2016] [Indexed: 02/03/2023]
Abstract
It is a golden age for animal movement studies and so an opportune time to assess priorities for future work. We assembled 40 experts to identify key questions in this field, focussing on marine megafauna, which include a broad range of birds, mammals, reptiles, and fish. Research on these taxa has both underpinned many of the recent technical developments and led to fundamental discoveries in the field. We show that the questions have broad applicability to other taxa, including terrestrial animals, flying insects, and swimming invertebrates, and, as such, this exercise provides a useful roadmap for targeted deployments and data syntheses that should advance the field of movement ecology.
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Affiliation(s)
- Graeme C Hays
- Deakin University, Geelong, Australia, School of Life and Environmental Sciences, Centre for Integrative Ecology, Warrnambool, VIC 3280, Australia.
| | - Luciana C Ferreira
- IOMRC and The UWA Oceans Institute, School of Animal Biology and Centre for Marine Futures, The University of Western Australia, Crawley, WA 6009, Australia; Australian Institute of Marine Science, c/o The UWA Oceans Institute, University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia
| | - Ana M M Sequeira
- IOMRC and The UWA Oceans Institute, School of Animal Biology and Centre for Marine Futures, The University of Western Australia, Crawley, WA 6009, Australia
| | - Mark G Meekan
- Australian Institute of Marine Science, c/o The UWA Oceans Institute, University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia
| | - Carlos M Duarte
- King Abdullah University of Science and Technology (KAUST), Red Sea Research Center (RSRC), Thuwal, 23955-6900, Saudi Arabia
| | - Helen Bailey
- Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, MD 20688, USA
| | - Fred Bailleul
- South Australian Research and Development Institute (Aquatic Sciences), 2 Hamra Avenue, West Beach, Adelaide, SA 5024, Australia
| | - W Don Bowen
- Population Ecology Division, Bedford Institute of Oceanography, Dartmouth, NS, B2Y 4A2, Canada
| | - M Julian Caley
- Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers, Australia; Australian Institute of Marine Science, PMB No. 3, Townsville, QLD 4810, Australia
| | - Daniel P Costa
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA 95060, USA
| | - Victor M Eguíluz
- Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB), E-07122 Palma de Mallorca, Spain
| | - Sabrina Fossette
- School of Animal Biology, University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia
| | - Ari S Friedlaender
- Department of Fisheries and Wildlife, Marine Mammal Institute, Oregon State University, 2030 Marine Science Drive, Newport, OR 97365, USA
| | - Nick Gales
- Australian Antarctic Division, Department of the Environment, Australian Government, Kingston, TAS 7050, Australia
| | - Adrian C Gleiss
- Centre for Fish and Fisheries Research, School of Veterinary and Life Sciences, Murdoch University, 90 South Street, Murdoch, WA 6150, Australia
| | - John Gunn
- Australian Institute of Marine Science, PMB No. 3, Townsville, QLD 4810, Australia
| | - Rob Harcourt
- Department of Biological Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - Elliott L Hazen
- Environmental Research Division, Southwest Fisheries Science Center, National Oceanic and Atmospheric Administration, 99 Pacific St, Suite 255A, Monterey, CA 93940, USA
| | - Michael R Heithaus
- Department of Biological Sciences, Florida International University, Miami, FL 33174, USA
| | - Michelle Heupel
- Australian Institute of Marine Science, PMB No. 3, Townsville, QLD 4810, Australia; Centre for Sustainable Tropical Fisheries and Aquaculture, and College of Marine and Environmental Sciences, James Cook University, Townsville, QLD 4811, Australia
| | - Kim Holland
- Hawaii Institute of Marine Biology, University of Hawaii at Manoa, PO Box 1346, Kaneohe, HI 98744, USA
| | - Markus Horning
- Science Department, Alaska SeaLife Center, Seward, AK 99664, USA
| | - Ian Jonsen
- Department of Biological Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - Gerald L Kooyman
- Scripps Institute of Oceanography, University of California San Diego, San Diego, CA 92093, USA
| | - Christopher G Lowe
- Department of Biological Sciences, California State University, Long Beach, Long Beach, CA 90840, USA
| | - Peter T Madsen
- Zoophysiology, Department of Bioscience, Aarhus University, Aarhus, DK 8000, Denmark; Murdoch University Cetacean Research Unit, School of Veterinary and Life Sciences, Murdoch University, Perth, WA 6150, Australia
| | - Helene Marsh
- College of Marine and Environmental Science, James Cook University, Townsville, QLD 4810, Australia
| | - Richard A Phillips
- British Antarctic Survey, Natural Environment Research Council, Cambridge, CB3 0ET, UK
| | - David Righton
- Fisheries and Ecosystems Division, Cefas Laboratory, Pakefield Road, Lowestoft, NR34 7RU, UK
| | - Yan Ropert-Coudert
- Centre d'Etudes Biologiques de Chizé, Station d'Écologie de Chizé-Université de La Rochelle, CNRS UMR 7372, 79360 Villiers-en-Bois, France
| | - Katsufumi Sato
- Atmosphere and Ocean Research Institute, The University of Tokyo 5-1-5 Kashiwanoha, Kashiwa City, Chiba Prefecture, 277-8564, Japan
| | - Scott A Shaffer
- Department of Biological Sciences, San Jose State University, San Jose, CA 95192-0100, USA
| | - Colin A Simpfendorfer
- Centre for Sustainable Tropical Fisheries and Aquaculture, and College of Marine and Environmental Sciences, James Cook University, Townsville, QLD 4811, Australia
| | - David W Sims
- Marine Biological Association of the United Kingdom, The Laboratory, Citadel Hill, Plymouth, PL1 2PB, UK; Ocean and Earth Science, National Oceanography Centre Southampton, University of Southampton, Waterfront Campus, European Way, Southampton, SO14 3ZH, UK; Centre for Biological Sciences, Building 85, University of Southampton, Highfield Campus, Southampton, SO17 1BJ, UK
| | - Gregory Skomal
- Massachusetts Shark Research Project, Division of Marine Fisheries, 1213 Purchase St, New Bedford, MA 02740, USA
| | - Akinori Takahashi
- National Institute of Polar Research, Tachikawa, Tokyo 190-8518, Japan
| | - Philip N Trathan
- British Antarctic Survey, Natural Environment Research Council, Cambridge, CB3 0ET, UK
| | - Martin Wikelski
- Department of Migration and ImmunoEcology, Max-Planck Institute for Ornithology, Am Obstberg 1, 78315 Radolfzell, Germany; Konstanz University, Department of Biology, 78457 Konstanz, Germany
| | - Jamie N Womble
- National Park Service, Glacier Bay Field Station, 3100 National Park Road, Juneau, AK 99801, USA
| | - Michele Thums
- Australian Institute of Marine Science, c/o The UWA Oceans Institute, University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia
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Implantation and Recovery of Long-Term Archival Transceivers in a Migratory Shark with High Site Fidelity. PLoS One 2016; 11:e0148617. [PMID: 26849043 PMCID: PMC4744049 DOI: 10.1371/journal.pone.0148617] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2015] [Accepted: 01/20/2016] [Indexed: 11/24/2022] Open
Abstract
We developed a long-term tagging method that can be used to understand species assemblages and social groupings associated with large marine fishes such as the Sand Tiger shark Carcharias taurus. We deployed internally implanted archival VEMCO Mobile Transceivers (VMTs; VEMCO Ltd. Nova Scotia, Canada) in 20 adult Sand Tigers, of which two tags were successfully recovered (10%). The recovered VMTs recorded 29,646 and 44,210 detections of telemetered animals respectively. To our knowledge, this is the first study to demonstrate a method for long-term (~ 1 year) archival acoustic transceiver tag implantation, retention, and recovery in a highly migratory marine fish. Results show low presumed mortality (n = 1, 5%), high VMT retention, and that non-lethal recovery after almost a year at liberty can be achieved for archival acoustic transceivers. This method can be applied to study the social interactions and behavioral ecology of large marine fishes.
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Stansbury AL, Götz T, Deecke VB, Janik VM. Grey seals use anthropogenic signals from acoustic tags to locate fish: evidence from a simulated foraging task. Proc Biol Sci 2015; 282:20141595. [PMID: 25411449 PMCID: PMC4262164 DOI: 10.1098/rspb.2014.1595] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Anthropogenic noise can have negative effects on animal behaviour and physiology. However, noise is often introduced systematically and potentially provides information for navigation or prey detection. Here, we show that grey seals (Halichoerus grypus) learn to use sounds from acoustic fish tags as an indicator of food location. In 20 randomized trials each, 10 grey seals individually explored 20 foraging boxes, with one box containing a tagged fish, one containing an untagged fish and all other boxes being empty. The tagged box was found after significantly fewer non-tag box visits across trials, and seals revisited boxes containing the tag more often than any other box. The time and number of boxes needed to find both fish decreased significantly throughout consecutive trials. Two additional controls were conducted to investigate the role of the acoustic signal: (i) tags were placed in one box, with no fish present in any boxes and (ii) additional pieces of fish, inaccessible to the seal, were placed in the previously empty 18 boxes, making possible alternative chemosensory cues less reliable. During these controls, the acoustically tagged box was generally found significantly faster than the control box. Our results show that animals learn to use information provided by anthropogenic signals to enhance foraging success.
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Affiliation(s)
- Amanda L Stansbury
- Sea Mammal Research Unit, School of Biology, University of St Andrews, Fife KY16 8LB, UK
| | - Thomas Götz
- Sea Mammal Research Unit, School of Biology, University of St Andrews, Fife KY16 8LB, UK
| | - Volker B Deecke
- Centre for Wildlife Conservation, University of Cumbria, Nook Lane, Ambleside, Cumbria LA22 9BB, UK
| | - Vincent M Janik
- Sea Mammal Research Unit, School of Biology, University of St Andrews, Fife KY16 8LB, UK
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Baker LL, Mills Flemming JE, Jonsen ID, Lidgard DC, Iverson SJ, Bowen WD. A novel approach to quantifying the spatiotemporal behavior of instrumented grey seals used to sample the environment. MOVEMENT ECOLOGY 2015; 3:20. [PMID: 26213626 PMCID: PMC4514985 DOI: 10.1186/s40462-015-0047-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/24/2014] [Accepted: 05/11/2015] [Indexed: 03/24/2024]
Abstract
BACKGROUND Paired with satellite location telemetry, animal-borne instruments can collect spatiotemporal data describing the animal's movement and environment at a scale relevant to its behavior. Ecologists have developed methods for identifying the area(s) used by an animal (e.g., home range) and those used most intensely (utilization distribution) based on location data. However, few have extended these models beyond their traditional roles as descriptive 2D summaries of point data. Here we demonstrate how the home range method, T-LoCoH, can be expanded to quantify collective sampling coverage by multiple instrumented animals using grey seals (Halichoerus grypus) equipped with GPS tags and acoustic transceivers on the Scotian Shelf (Atlantic Canada) as a case study. At the individual level, we illustrate how time and space-use metrics quantifying individual sampling coverage may be used to determine the rate of acoustic transmissions received. RESULTS Grey seals collectively sampled an area of 11,308 km (2) and intensely sampled an area of 31 km (2) from June-December. The largest area sampled was in July (2094.56 km (2)) and the smallest area sampled occurred in August (1259.80 km (2)), with changes in sampling coverage observed through time. CONCLUSIONS T-LoCoH provides an effective means to quantify changes in collective sampling effort by multiple instrumented animals and to compare these changes across time. We also illustrate how time and space-use metrics of individual instrumented seal movement calculated using T-LoCoH can be used to account for differences in the amount of time a bioprobe (biological sampling platform) spends in an area.
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Affiliation(s)
- Laurie L Baker
- />Department of Biology, Dalhousie University, Halifax, B3H 4R2 Canada
| | | | - Ian D Jonsen
- />Department of Biological Sciences, Macquarie University, North Ryde, Sydney, NSW 2109 Australia
| | - Damian C Lidgard
- />Department of Biology, Dalhousie University, Halifax, B3H 4R2 Canada
| | - Sara J Iverson
- />Department of Biology, Dalhousie University, Halifax, B3H 4R2 Canada
| | - W Don Bowen
- />Population Ecology Division, Bedford Institute of Oceanography, Department of Fisheries and Oceans, Dartmouth, B2Y 4A2 Canada
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15
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Robinson KJ, Twiss SD, Hazon N, Moss S, Lonergan M, Pomeroy PP. Conspecific recognition and aggression reduction to familiars in newly weaned, socially plastic mammals. Behav Ecol Sociobiol 2015; 69:1383-1394. [PMID: 26246656 PMCID: PMC4521097 DOI: 10.1007/s00265-015-1952-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2015] [Revised: 05/28/2015] [Accepted: 05/31/2015] [Indexed: 11/27/2022]
Abstract
Recognising conspecifics and behaving appropriately towards them is a crucial ability for many species. Grey seals (Halichoerus grypus) show varying capabilities in this regard: mother-pup recognition has been demonstrated in some geographical populations but is absent in others, yet there is evidence that individuals aggregate with prior associates. The recognition capabilities of newly weaned grey seal pups were investigated using class recognition trials within the habituation/dishabituation paradigm. Trials took place in pens, using pairs of individuals that either had previously cohabited (familiar) or that had never met before (stranger). Frequencies of olfactory and visual investigative behaviours ('checks') and aggressive interactions were recorded during trials. Familiar individuals recognised each other: paired strangers showed significantly more checks and aggressive interactions than were seen in trials pairing familiars. Oxytocin concentrations in post-trial plasma samples were analysed to investigate the underlying physiology modulating recognition abilities; however, no significant differences were detected between familiar or stranger trials. This study demonstrates that at a young age, grey seals can recognise individuals they have previously encountered. Recognition abilities in this species have adaptive value by allowing the reduction of costly aggressive interactions between familiar conspecifics, which is often cited as the first step towards the evolution of sociality in a species. This study is the first with wild subjects to find conspecific recognition abilities in a pinniped species outside of reproductive contexts. It demonstrates that even largely solitary species can be capable of recognition and pro-social behaviours that benefit them during times when they must aggregate.
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Affiliation(s)
- Kelly J. Robinson
- />Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews, St Andrews, Fife, KY16 8LB UK
| | - Sean D. Twiss
- />School of Biological and Biomedical Sciences, Durham University, South Road, Durham, DH1 3LE UK
| | - Neil Hazon
- />Scottish Oceans Institute, University of St Andrews, St Andrews, Fife, KY16 8LB UK
| | - Simon Moss
- />Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews, St Andrews, Fife, KY16 8LB UK
| | - Mike Lonergan
- />Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews, St Andrews, Fife, KY16 8LB UK
- />Divison of Cardiovascular & Diabetes Medicine, University of Dundee, Ninewells Hospital & Medical School, Mailbox 2, Dundee, DD1 9SY UK
| | - Patrick P. Pomeroy
- />Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews, St Andrews, Fife, KY16 8LB UK
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17
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Lidgard DC, Bowen WD, Jonsen ID, McConnell BJ, Lovell P, Webber DM, Stone T, Iverson SJ. Transmitting species-interaction data from animal-borne transceivers through Service Argos using Bluetooth communication. Methods Ecol Evol 2014. [DOI: 10.1111/2041-210x.12235] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Damian C. Lidgard
- Department of Biology; Dalhousie University; Halifax NS B3H 4JI Canada
| | - William D. Bowen
- Population Ecology Division; Department of Fisheries and Oceans; Bedford Institute of Oceanography; Dartmouth NS B2Y 4A2 Canada
| | - Ian D. Jonsen
- Department of Biological Sciences; Macquarie University; Sydney NSW 2109 Australia
| | - Bernie J. McConnell
- Sea Mammal Research Unit; Scottish Oceans Institute; University of St. Andrews; St. Andrews KY16 8LB Scotland
| | - Phil Lovell
- Sea Mammal Research Unit; Scottish Oceans Institute; University of St. Andrews; St. Andrews KY16 8LB Scotland
| | | | - Tim Stone
- Vemco; 20 Angus Morton Drive Bedford NS B4B 0L9 Canada
| | - Sara J. Iverson
- Department of Biology; Dalhousie University; Halifax NS B3H 4JI Canada
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Baker LL, Jonsen ID, Mills Flemming JE, Lidgard DC, Bowen WD, Iverson SJ, Webber DM. Probability of detecting marine predator-prey and species interactions using novel hybrid acoustic transmitter-receiver tags. PLoS One 2014; 9:e98117. [PMID: 24892286 PMCID: PMC4043729 DOI: 10.1371/journal.pone.0098117] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2014] [Accepted: 04/28/2014] [Indexed: 11/29/2022] Open
Abstract
Understanding the nature of inter-specific and conspecific interactions in the ocean is challenging because direct observation is usually impossible. The development of dual transmitter/receivers, Vemco Mobile Transceivers (VMT), and satellite-linked (e.g. GPS) tags provides a unique opportunity to better understand between and within species interactions in space and time. Quantifying the uncertainty associated with detecting a tagged animal, particularly under varying field conditions, is vital for making accurate biological inferences when using VMTs. We evaluated the detection efficiency of VMTs deployed on grey seals, Halichoerus grypus, off Sable Island (NS, Canada) in relation to environmental characteristics and seal behaviour using generalized linear models (GLM) to explore both post-processed detection data and summarized raw VMT data. When considering only post-processed detection data, only about half of expected detections were recorded at best even when two VMT-tagged seals were estimated to be within 50-200 m of one another. At a separation of 400 m, only about 15% of expected detections were recorded. In contrast, when incomplete transmissions from the summarized raw data were also considered, the ratio of complete transmission to complete and incomplete transmissions was about 70% for distances ranging from 50-1000 m, with a minimum of around 40% at 600 m and a maximum of about 85% at 50 m. Distance between seals, wind stress, and depth were the most important predictors of detection efficiency. Access to the raw VMT data allowed us to focus on the physical and environmental factors that limit a transceiver's ability to resolve a transmitter's identity.
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Affiliation(s)
- Laurie L. Baker
- Department of Biology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Ian D. Jonsen
- Department of Biology, Dalhousie University, Halifax, Nova Scotia, Canada
| | | | - Damian C. Lidgard
- Department of Biology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - William D. Bowen
- Population Ecology Division, Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada
| | - Sara J. Iverson
- Department of Biology, Dalhousie University, Halifax, Nova Scotia, Canada
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Cunningham KA, Hayes SA, Michelle Wargo Rub A, Reichmuth C. Auditory detection of ultrasonic coded transmitters by seals and sea lions. THE JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA 2014; 135:1978-1985. [PMID: 25234996 DOI: 10.1121/1.4868371] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Ultrasonic coded transmitters (UCTs) are high-frequency acoustic tags that are often used to conduct survivorship studies of vulnerable fish species. Recent observations of differential mortality in tag control studies suggest that fish instrumented with UCTs may be selectively targeted by marine mammal predators, thereby skewing valuable survivorship data. In order to better understand the ability of pinnipeds to detect UCT outputs, behavioral high-frequency hearing thresholds were obtained from a trained harbor seal (Phoca vitulina) and a trained California sea lion (Zalophus californianus). Thresholds were measured for extended (500 ms) and brief (10 ms) 69 kHz narrowband stimuli, as well as for a stimulus recorded directly from a Vemco V16-3H UCT, which consisted of eight 10 ms, 69 kHz pure-tone pulses. Detection thresholds for the harbor seal were as expected based on existing audiometric data for this species, while the California sea lion was much more sensitive than predicted. Given measured detection thresholds of 113 dB re 1 μPa and 124 dB re 1 μPa, respectively, both species are likely able to detect acoustic outputs of the Vemco V16-3H under water from distances exceeding 200 m in typical natural conditions, suggesting that these species are capable of using UCTs to detect free-ranging fish.
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Affiliation(s)
- Kane A Cunningham
- Department of Ocean Sciences, Long Marine Laboratory, University of California, Santa Cruz, 100 Shaffer Road, Santa Cruz, California 95060
| | - Sean A Hayes
- Fisheries Ecology Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Atmospheric and Oceanographic Administration, Santa Cruz, California 95060
| | - A Michelle Wargo Rub
- Fish Ecology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Atmospheric and Oceanographic Administration, Seattle, Washington 98112
| | - Colleen Reichmuth
- Institute of Marine Sciences, Long Marine Laboratory, University of California, Santa Cruz, Santa Cruz, California 95060
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